How to use lemma, POS and dependency of SpaCy in RASA NLU


From SpaCy we would need the dependency and POS, and lemma in our extractor. Is there a also concept such as tokens or entities in rasa for dependencies, POS and lemma? What would be the best way to implement it? Either extending the spacy_tokenizer or creating another spacy_featurizer? Anyone who had that problems already?

Thanks, Patrick

It’s probably best to create a new custom component, yes


You should create your custom tokenizer component based on tokenizer_spacy implementation.

I wrote post about it.